Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Xie-Xuan Zhou"'
Autor:
Marvin Thielert, Ericka CM Itang, Constantin Ammar, Florian A Rosenberger, Isabell Bludau, Lisa Schweizer, Thierry M Nordmann, Patricia Skowronek, Maria Wahle, Wen‐Feng Zeng, Xie‐Xuan Zhou, Andreas‐David Brunner, Sabrina Richter, Mitchell P Levesque, Fabian J Theis, Martin Steger, Matthias Mann
Publikováno v:
Molecular Systems Biology, Vol 19, Iss 9, Pp n/a-n/a (2023)
Abstract Single‐cell proteomics aims to characterize biological function and heterogeneity at the level of proteins in an unbiased manner. It is currently limited in proteomic depth, throughput, and robustness, which we address here by a streamline
Externí odkaz:
https://doaj.org/article/31e6f44353a34972902d11ba35f80b5e
Autor:
Wen-Feng Zeng, Xie-Xuan Zhou, Sander Willems, Constantin Ammar, Maria Wahle, Isabell Bludau, Eugenia Voytik, Maximillian T. Strauss, Matthias Mann
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-14 (2022)
Deep learning (DL) has been frequently used in mass spectrometry-based proteomics but there is still a lot of potential. Here, the authors develop a framework that enables building DL models to predict arbitrary peptide properties with only a few lin
Externí odkaz:
https://doaj.org/article/c7b3d38766854418b5770b79f343455b
Autor:
Marvin Thielert, Corazon Ericka Mae Itang, Constantin Ammar, Florian A Schober, Isabell Bludau, Patricia Skowronek, Maria Wahle, Wen-Feng Zeng, Xie-Xuan Zhou, Andreas-David Brunner, Sabrina Richter, Fabian J Theis, Martin Steger, Matthias Mann
Single-cell proteomics aims to characterize biological function and heterogeneity at the level of proteins in an unbiased manner. It is currently limited in proteomic depth, throughput and robustness, a challenge that we address here by a streamlined
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3fb68f6ef41609f753e695cd0ef7f6b
https://doi.org/10.1101/2022.12.02.518917
https://doi.org/10.1101/2022.12.02.518917
Autor:
Wanling Gao, Mengjia Du, Rui Ren, Juan Du, Hainan Ye, Longxin Xiong, Yunyou Huang, Lei Wang, Zhifei Zhang, Shaopeng Dai, Jianfeng Zhan, Yumei Cheng, Xie-Xuan Zhou, Fanda Fan, Fan Zhang, Silin Yin
Publikováno v:
IEEE Access, Vol 7, Pp 15590-15611 (2019)
Big medical data poses great challenges to life scientists, clinicians, computer scientists, and engineers. In this paper, a group of life scientists, clinicians, computer scientists and engineers sit together to discuss several fundamental issues. F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d822b5a14f52b23249de50acb45cd3bb
https://doi.org/10.1109/access.2019.2891948
https://doi.org/10.1109/access.2019.2891948
Autor:
Zhifei Zhang, Hao Chi, Jianfeng Zhan, Chao Liu, Xie-Xuan Zhou, Chunjie Luo, Wen-Feng Zeng, Si-Min He
Publikováno v:
Analytical Chemistry. 89:12690-12697
In tandem mass spectrometry (MS/MS)-based proteomics, search engines rely on comparison between an experimental MS/MS spectrum and the theoretical spectra of the candidate peptides. Hence, accurate prediction of the theoretical spectra of peptides ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b3797771c92c2b0077d838f3132fcbe
https://doi.org/10.1021/acs.analchem.7b02566
https://doi.org/10.1021/acs.analchem.7b02566
Publikováno v:
Analytical chemistry. 91(15)
In the past decade, tandem mass spectrometry (MS/MS)-based bottom-up proteomics has become the method of choice for analyzing post-translational modifications (PTMs) in complex mixtures. The key to the identification of the PTM-containing peptides an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cd69d3855c560062befe94c87169b12
https://pubmed.ncbi.nlm.nih.gov/31283184
https://pubmed.ncbi.nlm.nih.gov/31283184
Autor:
Xie-Xuan Zhou, Wen-Feng Zeng, Hao Chi, Chunjie Luo, Chao Liu, Jianfeng Zhan, Si-Min He, Zhifei Zhang
Publikováno v:
Analytical Chemistry; 12/5/2017, Vol. 89 Issue 23, p12690-12697, 8p